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Senior Platform Engineer

EPAM·Salary not specified

Primary stack

PythonAIAmazon DynamoDB

Nice to have's

AWS AgentCore Memory retention configurationprivacy engineering for AI systemsaudit trail and compliance loggingcross-region data residency requirements

Job description

About the Position

We are seeking a Senior Platform Engineer to manage agent memory retention policies, TTL configuration, and GDPR compliance within our Enterprise Agent Development Platform - a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, spanning agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability - reducing agent development from months to days while enforcing consistent security, quality, and governance standards.

Responsibilities

  • Define and maintain agent memory retention policies, including TTL configuration, episodic memory expiration, and summary memory lifecycle
  • Ensure GDPR compliance for agent memory, including user deletion handlers, right to erasure, and audit trail maintenance
  • Configure AWS AgentCore Memory settings, including TTL settings, namespace policies, and access controls
  • Classify memory data by sensitivity, encryption requirements, and retention periods
  • Manage agent memory cleanup through automated expiration and manual purge procedures
  • Collaborate with engineering teams to embed compliance and governance standards into agent development workflows

Requirements

  • 3+ years of experience in platform or compliance engineering
  • Hands-on experience with agent memory systems in a production agentic AI project, such as implementing memory retention/TTL policies, memory lifecycle management, or GDPR-style data governance for AI agents
  • Expertise in data retention policy implementation, GDPR/privacy compliance for user data, and TTL and lifecycle management for cloud storage
  • English proficiency at B2 level or higher

Nice to Have

  • Familiarity with AWS AgentCore Memory retention configuration
  • Background in privacy engineering for AI systems
  • Knowledge of audit trail and compliance logging
  • Understanding of cross-region data residency requirements

Skills

  • Generative AI Operations
  • Amazon Web Services
  • Amazon Bedrock AgentCore
  • Python
  • Attribute-based Access Control
  • Amazon DynamoDB

We Offer

We connect like-minded people: Delivering innovative solutions to industry leaders, making a global impact. Enjoyable working environment, whether it is the vibrant office or the comfort of your own home. Opportunity to work abroad for up to two months per year. Relocation opportunities within our offices in 55+ countries. Corporate and social events.

We invest in your growth: Leadership development, career advising, soft skills and well-being programs. Certifications, including GCP, Azure and AWS. Unlimited access to EPAM's internal learning database. Free English classes with certified teachers.

We cover it all: Participation in the Employee Stock Purchase Plan. Monetary bonuses for engaging in the referral program. Comprehensive medical & family care package. Four trust days per year for personal needs. Discounts for fitness clubs. Benefits package (hotels, restaurants, stores and services).

About the Company

[Company description if present]

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